code: def _percentile_grid_points(values, num_points=10):
      percentiles = np.linspace(0, 100, num=num_points)
      grid_points = np.percentile(values, percentiles)
      return grid_points
  
file_path: interpret/python/interpret-core/interpret/blackbox/_partialdependence.py
imports: from ..api.base import ExplainerMixin, ExplanationMixin
  import numpy
  from ..utils._explanation import gen_name_from_class, gen_global_selector
  from ..utils._clean_x import preclean_X
  from ..utils._unify_predict import determine_classes, unify_predict_fn
  from ..utils._unify_data import unify_data
label_desc: Use image node_id 2 for calling a global function with example usage: _percentile_grid_points(values, num_points) and returns: grid_points